Darko Chudy

666 total citations
50 papers, 389 citations indexed

About

Darko Chudy is a scholar working on Neurology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Darko Chudy has authored 50 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 13 papers in Genetics and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Darko Chudy's work include Glioma Diagnosis and Treatment (12 papers), Neurological disorders and treatments (11 papers) and Cerebrospinal fluid and hydrocephalus (9 papers). Darko Chudy is often cited by papers focused on Glioma Diagnosis and Treatment (12 papers), Neurological disorders and treatments (11 papers) and Cerebrospinal fluid and hydrocephalus (9 papers). Darko Chudy collaborates with scholars based in Croatia, United States and Spain. Darko Chudy's co-authors include Vedran Deletis, Marina Raguž, Jasenka Škrlin, Bojan Jerbić, Darko Orešković, Filip Šuligoj, Marko Švaco, Magnus Tengvar, Marwan Hariz and Marijan Klarica and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Darko Chudy

41 papers receiving 366 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Darko Chudy Croatia 13 208 122 73 68 55 50 389
Franco Randi Italy 11 171 0.8× 132 1.1× 43 0.6× 56 0.8× 82 1.5× 25 404
Andrea Trezza Italy 9 145 0.7× 140 1.1× 39 0.5× 67 1.0× 95 1.7× 25 335
Richard Rammo United States 13 204 1.0× 80 0.7× 77 1.1× 34 0.5× 69 1.3× 31 376
Dirk Freudenstein Germany 12 135 0.6× 88 0.7× 69 0.9× 78 1.1× 89 1.6× 22 405
Serhat Baydın Türkiye 11 175 0.8× 140 1.1× 55 0.8× 83 1.2× 39 0.7× 29 376
William Omar Contreras López Brazil 13 196 0.9× 80 0.7× 32 0.4× 77 1.1× 88 1.6× 35 462
Fabio Raneri Italy 12 145 0.7× 97 0.8× 89 1.2× 87 1.3× 147 2.7× 20 460
Arka N. Mallela United States 12 142 0.7× 67 0.5× 86 1.2× 116 1.7× 54 1.0× 77 480
Azedine Medhkour United States 13 214 1.0× 128 1.0× 113 1.5× 167 2.5× 66 1.2× 30 504
Theo Demerath Germany 15 133 0.6× 89 0.7× 55 0.8× 60 0.9× 73 1.3× 62 452

Countries citing papers authored by Darko Chudy

Since Specialization
Citations

This map shows the geographic impact of Darko Chudy's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Darko Chudy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darko Chudy more than expected).

Fields of papers citing papers by Darko Chudy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darko Chudy. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Darko Chudy. The network helps show where Darko Chudy may publish in the future.

Co-authorship network of co-authors of Darko Chudy

This figure shows the co-authorship network connecting the top 25 collaborators of Darko Chudy. A scholar is included among the top collaborators of Darko Chudy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darko Chudy. Darko Chudy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mitrović, Zdravko, et al.. (2025). A unique presentation of an osteolytic chronic lymphocytic leukemia/small lymphocytic lymphoma as a helmet-shaped tumor. Surgical Neurology International. 16. 109–109.
2.
Margalef-Bentabol, Berta, Liming Wang, Antonio La Marca, et al.. (2024). Galaxy merger challenge: A comparison study between machine learning-based detection methods. Springer Link (Chiba Institute of Technology). 3 indexed citations
3.
Rački, Valentino, et al.. (2024). Could systemic infections influence the effectiveness of deep brain stimulation therapy in patients with dystonia?. Medical Hypotheses. 194. 111527–111527.
4.
Raguž, Marina, et al.. (2024). ABCG2 Expression as a Potential Survival Predictor in Human Gliomas. International Journal of Molecular Sciences. 25(6). 3116–3116. 2 indexed citations
5.
Orešković, Darko, J.F. Alén, Marina Raguž, et al.. (2024). Chronic hyperglycemia and intracranial meningiomas. BMC Cancer. 24(1). 488–488. 1 indexed citations
6.
Chudy, Darko, et al.. (2023). GPi DBS treatment outcome in children with monogenic dystonia: a case series and review of the literature. Frontiers in Neurology. 14. 1151900–1151900. 3 indexed citations
7.
Sedmak, Goran, et al.. (2021). The Accuracy of Direct Targeting Using Fusion of MR and CT Imaging for Deep Brain Stimulation of the Subthalamic Nucleus in Patients with Parkinson's Disease. Journal of Neurological Surgery Part A Central European Neurosurgery. 82(6). 518–525. 4 indexed citations
8.
Orešković, Darko, et al.. (2021). Glycemia and venous thromboembolism in patients with primary brain tumors – A speculative review. Medical Hypotheses. 157. 110719–110719. 2 indexed citations
9.
Raguž, Marina, et al.. (2021). Structural changes in brains of patients with disorders of consciousness treated with deep brain stimulation. Scientific Reports. 11(1). 4401–4401. 27 indexed citations
10.
Švaco, Marko, et al.. (2020). Stereotactic Neuro-Navigation Phantom Designs: A Systematic Review. Frontiers in Neurorobotics. 14. 549603–549603. 7 indexed citations
11.
Švaco, Marko, et al.. (2017). A Novel Robotic Neuronavigation System: RONNA G3. Strojniški vestnik – Journal of Mechanical Engineering. 63(12). 12 indexed citations
12.
Vukić, Miroslav, et al.. (2016). Monoamine Neurotransmitter Metabolite Concentration as a Marker of Cerebrospinal Fluid Volume Changes. Acta neurochirurgica. Supplementum. 122. 283–286. 3 indexed citations
13.
Jerbić, Bojan, et al.. (2015). Robotic Application in Neurosurgery Using Intelligent Visual and Haptic Interaction. International Journal of Simulation Modelling. 71–84. 20 indexed citations
14.
Adamec, Ivan, Gordan Grahovac, Magdalena Krbot Skorić, et al.. (2013). Tongue somatosensory-evoked potentials in microvascular decompression treated trigeminal neuralgia. Acta Neurologica Belgica. 114(1). 55–58. 1 indexed citations
15.
Chudy, Darko, et al.. (2012). Dependence of Cerebrospinal Fluid Pressure and Volume on the Changes in Serum Osmolarity in Cats. Acta neurochirurgica. Supplementum. 114. 351–355. 7 indexed citations
16.
Grahovac, Gordan, et al.. (2012). Implantation metastasis of malignant fibrous histiocytoma along the stereotactic biopsy tract. Clinical Neurology and Neurosurgery. 115(7). 1160–1161. 1 indexed citations
17.
Chudy, Darko, et al.. (2010). Stereotactically Treated Giant Perivascular Spaces in a 13-Year-Old Boy Mimicking Brain Tumor. PubMed. 72(2). 104–106. 1 indexed citations
18.
Orešković, Darko, et al.. (2010). Effect of osmolarity on CSF volume during ventriculo-aqueductal and ventriculo-cisternal perfusions in cats. Neuroscience Letters. 484(2). 93–97. 30 indexed citations
19.
Chudy, Darko, et al.. (2000). The Difference Between Ultrasound-Guided and Stereotactic-Guided Neurosurgical Procedures. min - Minimally Invasive Neurosurgery. 43(3). 149–152. 13 indexed citations
20.
Laitinen, Lauri V., Darko Chudy, Magnus Tengvar, Marwan Hariz, & A. Tommy Bergenheim. (2000). Dilated perivascular spaces in the putamen and pallidum in patients with Parkinson's disease scheduled for pallidotomy: A comparison between MRI findings and clinical symptoms and signs. Movement Disorders. 15(6). 1139–1144. 28 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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